x402-rotate
Rotate: Rotate an array left by k positions. Provide values and optional k (default 1).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Rotate: Rotate an array left by k positions. Provide values and optional k (default 1).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It discloses the core operation (left rotation, k, default 1) but omits boundary behavior: what happens when k exceeds the array length, negative k, empty arrays, and whether a new array is returned or the input is mutated. Core behavior is clear; edge behavior is left to agent assumption.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with the operation front-loaded and the call-format hint second. Minor waste: the leading 'Rotate:' label redundantly restates both the tool name and the verb in the following sentence.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a simple pure function on the happy path: it names the inputs, the operation, and a default. But with no output schema and an empty input schema, genuine gaps remain — no structured way to supply values, no stated return value, and no edge-case behavior (k > length, negative k, empty input). It is not complete enough for confident automated invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema exposes zero properties, yet the description names the two effective inputs (values, optional k) and documents k's default of 1 — meaning the description is the only carrier of parameter semantics, consistent with the 0-params baseline of 4. The notable gap is that the schema and description disagree: the agent gets no structured slot to fill, which undermines reliable invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Rotate an array left by k positions,' adding direction (left) and amount (k) beyond the tool name alone. This is semantically distinguishable from array siblings like x402-reverse-array, x402-sorted-array, and x402-flatten. However, it never explicitly names a contrasting sibling, so it stops short of full differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use rotation versus alternatives among the ~1000 sibling tools (reverse, sort, shuffle, rotate variants). 'Provide values and optional k' is a call-format hint, not usage context. There is no when/when-not statement, prerequisite, or named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.